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Thu Trang
(21.06.2024)

Enhancing smart interactions: IOT and artificial intelligence applied in business

In the technological revolution, IoT and applied artificial intelligence are considered an outstanding step forward to help businesses optimize operations. The adoption of AI and IoT is revolutionizing data analytics, making systems smarter and more efficient. So what are IoT and artificial intelligence? How to apply? How AI is integrated into business software.

1. Basic concepts of AI and IoT?  

1.1. What is artificial intelligence (AI)?

Artificial Intelligence is a branch of computer science, an intelligence created by humans to perform tasks that often require the human brain such as face recognition and voice recognition. ,.. AI includes basic elements such as:

  • Machine Learning: Computers learn from data over time to complete tasks better without humans having to tell them exactly how to do them
  • Deep Learning: A more advanced form of learning that works like the human brain to process images, videos, and voices
  • Computer Vision: This allows AI to understand images and videos, such as recognizing different objects or faces.
  • Natural Language Processing: This is how AI can understand what humans mean when they speak or write and can even write or speak back in a way that sounds quite human-like.

1.2. Internet of things (IoT)

The Internet of Things (IoT) is the ability to connect common objects such as appliances, cars, and home appliances to the Internet so they can send information to each other. Some key elements of IoT include:

  • Sensors: These are devices capable of sensing things happening around them, like changes in temperature or movement, and turning this into digital information.
  •   Connectivity: This is how devices communicate with the Internet and with each other, whether through WiFi, Bluetooth, or other ways.
  •   Data exchange: Once devices are connected, they can share collected information with online systems that can store and analyze this data.
  • Automation: This means using data from IoT devices to do things automatically, like adjusting the temperature in a home or managing a factory.
Iodine
Internet of Things (IoT)

AI and IoT help us collect, understand, and use data from connected devices in intelligent ways we couldn't before.

2. Application of IOT and artificial intelligence in the technology revolution

When IoT and applied artificial intelligence are worked together, they create a super intelligent system that can process tons of data in real time, predicting what will happen next to make operations easier. more effective. When we connect data via IoT, it will be a huge amount of data. Use AI like machine learning to help humans make sense of all this data.

  • Process and analyze data in real time

AI looks at data sent from sensors and devices and finds patterns or problems that are difficult to detect with the naked eye alone. They are often applied in:

- Estimate equipment wear time

- Quickly capture production errors

- Adjust energy usage based on need

  • Predict what might happen in the future

AI can rely on past data from IoT devices to predict what might happen in the future. This enables companies to:

- What customers might want

- Upcoming market trends

- When do machines need repair?

- Potential health risks

  • Personalize user experience

AI makes IoT systems smarter to understand and make predictions to enhance user experience:

- Smart assistant learns user habits and preferences to make better suggestions

- AI predicts favorite home settings and travel routes based on weather or schedule factors

  • Enhance security with AI

AI does a great job at keeping IoT systems secure:

- Search for samples with strange signs that pose security risks

- Monitor devices communicating with each other and their users to detect threats early

- Learn how the device normally communicates when a problem occurs

- Use linguistic understanding to sort and prioritize security alerts

3. AI applications and integration capabilities in business software

Applying AI and IoT to business software helps open up many new opportunities for businesses to optimize operations and improve efficiency. At 1C Vietnam, the ability to integrate AI and IoT applies mostly to software that helps improve business operations from production, digitization of data documents, human resource management, and business activities.

3.1. Voice recognition capabilities

Using AI and machine learning, the software can listen to speeches in meetings, recognize the sounds, and accurately convert them into text. This technology helps businesses save time in recording information during meetings, rechecking information when needed without spending a lot of time reviewing recordings.

Voice recognition capabilities
Voice recognition capabilities

3.2. Optical Character Recognition (OCR)

Intelligent document recognition: convert printed or handwritten text into digital data and convert static documents into dynamic, searchable and analyzable content

Handle various financial transactions: by converting paper documents or images containing financial information into digital data, OCR tools help automate the data entry process, minimizing errors. From processing invoices, receipts, bank documents to financial reports and contracts, and automatically creating task lists for employees to manage tasks effectively  

Optical character integration (OCR) 
Optical character integration (OCR)

3.3. Forecasting in business  

Artificial Intelligence (AI) technology is becoming a powerful tool in predicting business results. By connecting data and selecting forecast data, AI has the ability to make predictions about revenue and profits. Machine learning algorithms in AI can learn from past data and sample data to identify customer insights. This helps businesses not only make strategic plans more effectively, but also make smart decisions based on real data, optimize resources and seize opportunities promptly.

Integration to predict business situation
Integration to predict business situation

3.4 AI Camera Integration

AI cameras integrated into the management system bring many outstanding benefits to businesses. In addition to capturing images, AI cameras help record and analyze data in real time. This enables facial recognition for motion detection, security control, customer behavior analysis for retail stores. This integration also provides the ability to track and optimize business activities from warehouse management in production to the use of equipment in the medical and health care industry.

Integrate AI camera
Integrated Camera AI

4. Challenges and solutions when applying IOT and applied artificial intelligence

4.1. Privacy and data security  

When AI and IoT come together, we get great benefits from data. However, this also leads to more data being collected than necessary and causes security concerns.

Some commonly encountered problems include:

  • Collecting too much data: IoT devices can collect a lot of personal data that users do not want to share
  • Risk of data loss: when data moves between devices, hackers can take the opportunity to steal, modify, or delete data
  • Users are unaware that data is being shared: most people often have no control over which devices they are sharing data with

To overcome this problem, businesses can:

  • The permissions clearly state who can access that data
  • Protect data with secret encryption, secure internet connection (VPN)
  • Test your AI regularly to learn about how it makes decisions, ensure how it works, and troubleshoot possible issues

4.2. Data processing is complex and expensive

IoT devices generate a lot of data that is difficult to manage because of its large volume, high diversity from articles to images and videos, and authenticity is difficult to control. Integrating AI and IoT also requires complex technology infrastructure and high costs. Deploying IoT devices and maintaining AI models both require large financial and technical investments. Methods that can improve this problem:

  • Use more computers to share workloads, from devices to the cloud
  • Use the right tools built to process various data quickly and accurately
  • Setting standards for data makes processing easier and true to original requirements
  • Cut down on data by focusing on the important parts  

  

In general, applying IoT and artificial intelligence to business processes is a big step forward, requiring businesses to invest a lot of time, human resources, technology and finance. If your business is interested in business support solutions and has the ability to integrate with AI and IoT, please contact 1C Vietnam immediately to receive more detailed advice.

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